AI-Driven Security Testing Architect

EPAM Systems; Georgia; On-site; USD 120,000 - 180,000; Full time

Job summary

EPAM Systems is seeking an AI/ML Solution Engineer with a strong security engineering background to join our client’s security team and advance AI-driven security testing capabilities. You will build multi-agent frameworks, fine-tune LLMs for security domains, and help scale automated vulnerability management across software ecosystems.

Key responsibilities include developing robust testing pipelines, orchestrating large-scale data for security testing, and collaborating with the security team

Qualifications

• 5+ years of experience in AI/ML solution engineering or security engineering.
• Proficiency in Python and Rust.
• Experience with AI-agentic workflows and multi-agent orchestration frameworks.
• LLM fine-tuning techniques such as LoRA/QLoRA.
• Familiarity with vulnerability management and security testing tools.

Responsibilities

• Build multi-agent systems, tool-use frameworks, and orchestration layers to drive autonomous security testing workflows.
• Develop robust, large-scale security testing frameworks and evaluation pipelines.
• Perform LLM fine-tuning (LoRA, QLoRA, or similar) for security domains.
• Generate and manage large-scale datasets tailored for automated security testing.
• Execute security testing activities to identify risks and vulnerabilities in software applications using AI-agentic security testing solutions.
• Collaborate with the internal security team to share best practices on AI-driven secure testing methodologies.
• Stay up to date with latest AI-specific security vulnerabilities and threats, recommending mitigation strategies.
• Contribute to the development, standardization, and scaling of automated security testing methodologies.

Skills

Python

Vulnerability Management

LLM fine-tuning

Rust

Multi-agent systems

Orchestration frameworks

LoRA/QLoRA

Claude Code

Codex

Cursor

English (B2+)

Job description

EPAM Systems is seeking an AI/ML Solution Engineer with a strong security engineering background to join our client’s security team and advance AI-driven security testing capabilities. You will build multi-agent frameworks, fine-tune LLMs for security domains, and help scale automated vulnerability management across software ecosystems.

Key responsibilities include developing robust testing pipelines, orchestrating large-scale data for security testing, and collaborating with the security team